DOI QR코드

DOI QR Code

Robust Least Squares Motion Deblurring Using Inertial Sensor for Strapdown Image IR Sensors

스트랩다운 적외선 영상센서를 위한 관성센서 기반 강인최소자승 움직임 훼손영상 복원 기법

  • 김기승 (국방과학연구소) ;
  • 나성웅 (충남대학교 전자전파정보통신공학과)
  • Received : 2011.08.12
  • Accepted : 2012.01.26
  • Published : 2012.04.01

Abstract

This paper proposes a new robust motion deblurring filter using the inertial sensor measurements for strapdown image IR applications. With taking the PSF measurement error into account, the motion blurred image is modeled by the linear uncertain state space equation with the noise corrupted measurement matrix and the stochastic parameter uncertainty. This motivates us to solve the motion deblurring problem based on the recently developed robust least squares estimation theory. In order to suppress the ringing effect on the deblurred image, the robust least squares estimator is slightly modified by adoping the ridge-regression concept. Through the computer simulations using the actual IR scenes, it is demonstrated that the proposed algorithm shows superior and reliable motion deblurring performance even in the presence of time-varying motion artifact.

Keywords

References

  1. R. D. Ehrich and P. Vergez, "Strapdown seeker technology for the terminal guidance of tactical weapons," AGARD Guidance and Control Aspects of Tactical Air-launched Missiles (N81-16092 07-15), 1980.
  2. R. T. Rudin, "Strapdown stabilization for imaging seekers," Naval Air Warfare Center Weapons Div. Tech. Report, ADA344595, 1993.
  3. G. J. Zhang, Y. Yao, and K.-M. Ma, "Line of sight rate estimation of strapdown imaging guidance system based on unscented Kalman filter," Proc. Int. Conf. Machine Learning and Cybernetics, pp. 1574-1578, 2005.
  4. X. W. Li, X. S. Huang, and J. X. Sun, "Study on strapdown TV seeker simulation method," Int. Conf. Computer Modeling and Simulation, pp. 483-485, 1993.
  5. Janes's Electro-Optic Systems, "Raytheon DAMASK Seeker," Oct. 2010.
  6. D. W. Holder and W. R. Pillips, "Electronic image stabilization," US Patent 4,637,571, 1987.
  7. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Processing Magazine, pp. 43-64, 1996.
  8. A. O. Aboutlib and L. M. Silverman, "Restoration of motion degraded images," IEEE Trans. Circuits and Systems, vol. CAS-22, no. 3, pp. 278-286, Mar. 1975.
  9. J. K. Paik and W. Na, "A study on image restoration using wiener filter," Korea Information and Communications Society (in Korean), 6th Workshop on Image Processing and Image Understanding, vol. 6, pp. 21-24, 1997.
  10. W. Zhen-Guo and G. Ze-Xun, "Investigation on deblurring of remote sensing images using bayesian principle," ICIG 2007, Fourth International Conference, pp. 160-163.
  11. P. Campisi and K. Egiazarian, Blind Image Deconvolution: Theory and Applications. CRD Press, 2007.
  12. W. S. Ra, I. H. Whang, J. Y. Ahn, and J. B. Park, "Recursive robust least squares estimator for time-varying linear systems with a noise corrupted measurement matrix," IET Control Theory and Applications, vol. 1, no. 1, pp. 104-112. Jan. 2007. https://doi.org/10.1049/iet-cta:20050331
  13. W. S. Ra, I. H. Whang, and J. B. Park, "Non-conservative robust Kalman filtering using a noise corrupted measurement matrix," IET Control Theory and Applications, vol. 3, no. 9, pp. 1226-1236. Sep. 2009. https://doi.org/10.1049/iet-cta.2008.0224
  14. M. I. Sezan and A. M. Tekalp, "Survey of recent developments in digital image restoration," Optical Engineering, vol. 29, no. 5, pp. 393-401, May 1990. https://doi.org/10.1117/12.55610
  15. B. Chalmond, "PSF estimation for image deblurring," Graphics Models and Image Processing, vol. 53, no. 4, pp. 364-372. Jul. 1991. https://doi.org/10.1016/1049-9652(91)90039-M
  16. M. Ben-Ezra and S. K. Nayar, "Motion-based motion deblurring," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 689-698, Jun. 2004. https://doi.org/10.1109/TPAMI.2004.1

Cited by

  1. Look-Angle-Control Guidance for Missiles with Strapdown Seeker vol.19, pp.3, 2013, https://doi.org/10.5302/J.ICROS.2013.12.1809